Senior Data Scientist, Machine Learning

Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering at Brex

The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

Risk Data Science at Brex

The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers.

What you’ll do

Our team is responsible for the entire machine learning model development lifecycle for risk (credit and fraud) models. You will play a key role in developing and improving our Risk platform to ensure consistency, performance, and scalability in how we manage risk at Brex. 

Where you’ll work

This role will be based in our Sao Paulo office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025. when we open our Sao Paulo office. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Architect and develop components for our ML risk platform to ensure robustness, performance, and efficiency.
• Maintain and continually improve our Data & ML pipelines to efficiently manage risk.
• Productionize ML models and other ML Risk platform improvements.
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

Requirements

• 4+ years of experience in MLE/DS roles.
• Expertise in Machine Learning Systems Design.
• Solid Cloud, Data, and MLOps knowledge (e.g., AWS, Spark, Docker, Kubernetes, etc.).
• Strong communication and interpersonal skills.
• English proficiency/fluency, both written and spoken (note: interviews will be conducted in English).
• Must be willing to work in the office 2 days per week on Wednesday and Thursday, starting September 1st, 2025, when we open our Sao Paulo office.

Bonus points

• Previous experience in the Risk domain (Fraud, AML, and/or Credit).
• Experience working with real-time data sets.
• Experience in the finance industry.

Location

• Must be working in Brazil at the start of role

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.